Key skills
Data EngineeringEligibility and Membership DataMicrosoft FabricSQLData PipelinesData ModelingPythonPySparkFabric LakehouseFabric WarehouseFabric Data PipelinesFabric Dataflows Gen2OneLakeAzure SQLAzure SynapseAzure Data FactoryPower BIHealthcare DataContract/PBP ConfigurationCarve-out LogicCI/CD for Data PipelinesETLELTAnalyticsBIAzureSQL ServerCI/CD
About this role
Bi3 Careers is seeking an experienced Data Engineer to join their Data Engineering team, focusing on eligibility and membership data. The role involves designing, building, and supporting scalable data pipelines and analytics solutions within a Microsoft Fabric workspace, ensuring accurate and reliable eligibility data delivery.
Responsibilities:
- Design, build, and maintain eligibility and membership data pipelines using Microsoft Fabric
- Ensure eligibility data is accurately prepared for downstream integrations and analytics use cases
- Perform root cause analysis on eligibility issues, ingestion failures, and integration discrepancies
- Build and maintain data solutions using Fabric Lakehouse and Warehouse patterns
- Develop reliable ETL / ELT pipelines using Fabric Data Pipelines, Dataflows Gen2, SQL, and Python
- Use Fabric Notebooks (Python / PySpark) for data transformation, validation, and ad‑hoc analysis
- Create and manage conformed fact and dimension tables for eligibility and operational reporting
- Optimize performance, reliability, and observability of pipelines within the Fabric workspace
- Implement data validation and quality checks to prevent invalid or incomplete eligibility data from propagating downstream
- Support HIPAA‑aligned data handling practices related to eligibility and member data
- Ensure secure, governed data access across environments and consumer teams
- Document eligibility rules, mappings, and transformations clearly for audit and operational transparency
- Work with Product, Integration, Operations, and Analytics teams to support eligibility use cases and troubleshooting
- Enable self‑service reporting and analytics through Power BI semantic models
- Partner with other data engineers to standardize patterns and improve platform consistency
Requirements:
- 5+ years of experience in a Data Engineer or similar role
- Strong hands-on experience with SQL (advanced querying, transformations, performance tuning)
- Experience building and supporting data pipelines and data models for eligibility or healthcare datasets
- Experience working in Microsoft Fabric or closely related Azure data platforms
- Strong understanding of data integration concepts, ingestion pipelines, and downstream system dependencies
- Experience performing data analysis and troubleshooting across complex data flows
- Lakehouse
- Warehouse
- Data Pipelines
- Dataflows Gen2
- OneLake
- Azure SQL / SQL Server
- Azure Fabric
- Azure Synapse (dedicated pools)
- Azure Data Factory (or equivalent ETL tools)
- Power BI (semantic models, measures, data modeling)
- Eligibility and membership data
- Contract / PBP configuration
- Carve-outs and exclusion logic
- Experience with CI/CD for data pipelines and environment promotion